Top Data & Analytics Jobs in Pittsburgh, PA

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Build and migrate production data engineering and machine learning workloads to Databricks on Azure. Assess on-premises SQL Server and SSIS systems, develop PySpark and Spark SQL pipelines, implement governance with Unity Catalog, and create reusable CI/CD assets. Work directly with Department of Veterans Affairs teams through requirements sessions, workshops, training, and documentation. Depending on focus, build ML workflows or modernize ETL, reporting, semantic models, and Power BI solutions.

Leads data architecture for a federal Azure and Databricks AI platform supporting reporting, analytics, and machine learning. Responsibilities include guiding customers and VA stakeholders, mentoring senior engineers, designing lakehouse and warehouse architectures, building metadata-driven ingestion frameworks, governing data with Unity Catalog, enabling reporting and ML workloads, protecting PHI and PII, supporting ATO requirements, and contributing to technical proposals.

Develops and maintains Power BI reports, dashboards, semantic models, SQL datasets, and production reporting pipelines. Manages Azure Data Factory pipelines and Databricks notebooks, validates data accuracy, troubleshoots reporting issues, and supports scheduled client deliverables. Collaborates with software engineers, product owners, and account management in an Agile/Scrum environment. Documents BI practices, data definitions, and runbooks while applying dimensional modeling, DAX, Power Query, and AI-assisted development practices.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Leads enterprise metadata management and data governance initiatives, ensuring metadata quality, standards, lineage, and alignment across data domains. Partners with business, technology, data owners, and stewards to develop metadata strategies, repositories, models, and governance practices. Provides data modeling guidance, supports impact analysis, manages stakeholders and competing priorities, and leads global teams using Agile delivery practices. Financial services, regulatory reporting, risk, compliance, and Collibra experience are advantageous.

Administer and optimize Snowflake environments across development, testing, and production. Manage RBAC, users, service accounts, warehouses, performance, security, governance, and cost controls. Develop Terraform infrastructure as code and support GitHub-based CI/CD. Troubleshoot operational issues, assist with Snowflake and BigQuery migrations, integrate data pipelines, and maintain platform documentation while collaborating remotely with engineering and analytics teams.

Design, optimize, and maintain scalable data architectures, pipelines, and processing solutions. Ensure data quality, perform SQL and Python analysis, build dashboards and visualizations, and support marketing and product analytics. Lead tooling development, requirements gathering, QA, stakeholder communications, and cross-functional initiatives while providing technical guidance and managing team decisions.

Manages commercial reporting, analytics tools, and insights using syndicated, retailer POS, shopper card, and internal data. Delivers business performance analyses, visual selling stories, and actionable recommendations for sales, marketing, brand, and customer strategy teams. Oversees reporting accuracy, user training, data-provider relationships, technology integration, and visualization capabilities while supporting growth initiatives involving assortment, pricing, promotion, shelving, and innovation.

Manage digital analytics supporting eCommerce and Growth Marketing strategy. Translate complex business questions into actionable insights, dashboards, measurement plans, and recommendations. Analyze customer behavior, conversion, revenue, marketing effectiveness, and site performance while ensuring accurate tagging, event tracking, data quality, and analytics implementation. Partner cross-functionally on A/B testing, personalization, digital initiatives, governance, and leadership reporting to identify growth opportunities and improve decision-making.

Performs quality assurance on labeled autonomous-vehicle sensor data, identifies error trends and discrepancies, tests tools, mentors team members, provides feedback to labeling partners, creates clarification materials, and escalates quality concerns. The role requires sustained attention to large data volumes, clear bug and trend reporting, and collaboration with training and operations teams.